The `torch.distributions.Bernoulli` module in Python's Torch library is used to represent the Bernoulli distribution, which is a discrete probability distribution that models the outcomes of a single binary random experiment. It takes a single parameter `probs` (a Tensor or a variable) which represents the probability of the outcome being 1. The `Bernoulli` distribution provides methods to sample from the distribution, compute the log-probability of the samples, and also calculate various statistics such as mean and variance.
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